Several months ago, we launched an extraordinary satellite map. Now we are testing a new version of the satellite map, which brings new stunning enhancements:

• Stunning and realistic colours. Clouds and land look now real as from the ground
• More level of details. Windy now generates data at zoom 7 for GEOS and Himawari satellite, which makes satellite even better. Just check the cloud tops over America and Asia
• The new colour scale for infra+ view
• Data optimization. Your device now downloads only new images during the animation

Please, help us test it out, before it goes to the production - click here.

https://www.windy.com/-Satellite-satellite2?satellite2,36.368,-93.691,5,internal

World Environment Day: Global air quality data and forecasts from the Copernicus Atmosphere Monitoring Service (CAMS) are now accessible on Windy.

Following a partnership agreement, over 800,000 users of the popular weather application, Windy, can now access global air quality information provided by the Copernicus Atmosphere Monitoring Service (CAMS). CAMS is implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the European Union.

As a result of the collaboration, CAMS’ forecasts of the surface concentrations of the two main air pollutants, nitrogen dioxide and fine particulate matter, have been integrated into Windy. In addition, CAMS Aerosol Optical Depth forecasts are also featured on the app, allowing users to track the paths of plumes of fine particulate matter from a variety of sources around the planet, including dust, biomass burning, pollution, sea sprays and volcanic eruptions. Finally, CAMS’ forecast of the Earth’s ozone layer are also available in Windy.

Windy already uses information from ECMWF to provide its users with a range of weather parameters including wind, rain, lightning and cloud types. Air quality is a major concern throughout the world, contributing to around 400,000 premature deaths across the European Union each year, and easy access to air quality forecasts is now more important than ever before. Windy’s global reach will help bring much-needed CAMS air quality data to businesses, governments, organisations and individuals throughout the world via its simple and highly-visual application.

Following the new initiative with CAMS, Windy.com is one of the first of its kind to offer consistent air quality and winds forecasts in a fast, clear and understandable animation format, providing easy-to-access insight for businesses and individuals into the air we breathe. Visualising winds and air pollution at the same time is highly relevant, as winds drive the transport of pollutants and the absence of wind is a key factor for the accumulation of pollutants and the development of pollution episodes. Just like CAMS data, the app is provided free of charge to everyone without any advertising. It is available on all platforms including iOS, Android and desktop.

This is just one of a number of related projects supported by CAMS, which was set up as part of the European Union’s Copernicus Earth Observation Programme. The service provides freely-available global data on air quality, solar energy, greenhouse gas emissions, the ozone layer and more. CAMS combines computer models of the atmosphere, similar to those used for weather forecasts, with satellite and in-situ observations to provide daily forecasts of the composition of the air throughout the world.

Ivo Lukačovič, founder of Czech-based start-up Windy, comments: “Following our partnership agreement with CAMS, we are delighted to have completed the integration process to include much-needed air quality data from the organisation. At Windy, we are committed to providing information in a clear format that everyone can understand and even with increasing amounts of data to process and display, the app is incredibly fast as well as being user-friendly.”

Vincent-Henri Peuch, Head of the Copernicus Atmosphere Monitoring Service, adds: “We are delighted that Windy has now integrated CAMS data, so that its many users can now access our global and European air quality forecasts. To help inform, mobilise and eventually combat air pollution, air quality forecasts need to become as common as weather forecasts. The way Windy visualizes data from CAMS helps people to understand that air pollution is not simply a local problem, but can be transported for hundreds or thousands of kilometres by winds. On Windy, users and businesses can easily follow where air pollution is transported and where it accumulates.”

The newly integrated CAMS data can be found on Windy.com.
Nitrogen dioxide
Particulate matter
Aeorosol optical depth
Ozone layer

https://www.windy.com/annotation/5cf79d2ae27361001967c7b3

https://www.windy.com/annotation/5cf79d63e27361001967c7b4

https://www.windy.com/annotation/5cf79caae27361001967c7b1

https://www.windy.com/annotation/5cf79ccfe27361001967c7b2

At Windy, we have extended our partnership with Copernicus, and I am happy to announce that we have added a new map to Windy - "Active fires".

Active fires are provided by the Copernicus Global Fire Assimilation System (GFAS). Adding fire maps is an excellent addition to our current environmental maps. The active fires map represents thermal radiation measured from space-borne sensors and detected as coming from actively burning vegetation and other open fires.

It is expressed as the daily average of the fire radiative power (FRP) observations made in 125 km grid cells and expressed in the units of [mW/m2]. The rate of release of thermal radiation by a fire is believed to be related to the rate at which fuel is being consumed and smoke produced.

To open the map just select Active fires in the list of all maps. Moreover, you can open Active fires points from the list of POIs at the bottom right-hand box on any Windy map, including the last 12 hours satellite (very useful). Hovering over the fire icon gives you additional information.

The Active Fires POI layer is not available from mobile devices.

https://www.windy.com/-Active-fires-fires?fires,-31.020,152.380,7,internal

With the introduction of iOS 13, we discovered that on some devices, the panning and zooming do not work as expected. After initial testing, it seems that if you switch off the 3D touch, then it should work correctly.

To switch off you need to go to Settings -> Accessibility -> Touch -> 3D & Haptic Touch -> switch off "3D touch". Alternatively, you can search for 3D Touch.

Additionally, it is not possible to open the menu with Airsounding and Route planner because the long touch does not work.

We are still investigating the problems so if you experienced issues with panning and zooming let us know. Also, tomorrow, Apple will release iOS 13.1, it might fix those issues on Windy application. So let us know if something changes with updating the iOS to 13.1.

The table below describes when and how often are the weather models updated. All times are in UTC.

Shortened version of this link: on.windy.com/WeatherDataUpdate

Copernicus released its February 2019 Climate update.

• In February the global temperature was well above average.
• Conditions in the US notably California were quite wet while the southern hemisphere was generally drier than average. Queensland in Australia was the exception after rain led to large-scale flooding.
• In Europe, February began with lower than average temperatures. Heavy snowfall in Bosnia resulted in severe flooding and landslides.
• By the end of the month, conditions were dry and extremely warm for the time of year. France, Spain and Romania all saw wildfires.
• Sea ice is decreasing globally especially in the Arctic. In the Antarctic, there is no such trend though sea ice for February has been below average for the last four years.

You can find full version of the article published by Copernicus Atmosphere Monitoring Service here.

To compute sunrise and sunset times is easy, you just need to apply the following formula:

where:
ωo is the hour angle in degrees at either sunrise (when negative value is taken) or sunset (when positive value is taken) in degree (°)
φ is the latitude of the observer on the Earth in degrees
δ is the sun declination in degrees

Alternatively, you can use sunrise/sunset times on Windy.

Following contour plot shows hours of daylight based on latitude and day of the year.

For more information about sunrise & sunset, I recommend Astronomical Applications Department of the U.S. Naval Observatory website.

Windy uses data from Open Street Maps for our base maps.

What is on OSM, we use. If you think that something is not correct, please report it at www.openstreetmap.org or correct it.

Also we are aware that there is a lot of wars and territorial disputes all over the world. Therefore companies like Google, Bing, Apple, and Yandex have a different version of its maps, and they present the "right maps" to the "right audience".

We are focused on good weather product and we have absolutely no resources to present different maps to different countries.

Please accept it.

These are the disputed territories around the world:

Shortened version of this link: on.windy.com/DisputedTerritories

UPDATE on Vietnamese map issue (9 Nov 2018)

Please note, the label that we display on Windy was deleted from the OpenStreetMap database just yesterday (see the screenshot below).

When we next generate labes to Windy (we can not guarantee when it will be), the change will take effect, unless some other OSM contributor makes a contradictory editing in the meantime.

Also please note: For every language, a different label can be displayed. For example, in Vietnamese we show "Tam Sa", while in English it's "Sansha" – just according to the translation available on OSM.

We hope this explanation has brought more light into the "wrong maps" issue. :)

Every year, WMO issues a Statement on the State of the Global Climate based on data provided by National Meteorological and Hydrological Services (NMHSs) and other national and international organizations. Here are the highlights from the report:

2018: Fourth Warmest Year

2018 is on course to be the fourth warmest year on record. This means that the past four years—2015, 2016, 2017 and 2018—taken together are the four warmest years on record. In contrast to the other top warmest years, 2018 began with La Niña conditions, which are typically associated with lower global temperatures.

Greenhouse Gas Concentrations Continue to Rise

Levels of carbon dioxide concentrations continued to increase in 2018. Atmospheric concentrations reflect a balance between emissions due to human activities and the net uptake by the biosphere and oceans. Increasing levels of greenhouse gases in the atmosphere are key drivers of climate change.

Sea Level Rise Continues

Mean Global Mean Sea Level for the period from January to July 2018 has been 2 to 3 mm higher than for the equivalent period in 2017.

Ocean Heat Content at Record High

More than 90% of the energy trapped by greenhouse gases, goes into the oceans. Ocean Heat Content provides a direct measure of the energy that accumulates in the upper layers of the ocean. For each three-month period in 2018, the ocean heat content in the upper 700m and upper 2000m were either the highest or second highest on record.

Ocean Acidification

In the past decade, the oceans absorbed around 25% of anthropogenic carbon dioxide emissions. Absorbed carbon dioxide reacts with seawater and changes the pH of the ocean. This process is known as ocean acidification. Observations in the open-ocean over the last 30 years have shown a clear trend of decreasing pH. The IPCC Fifth Assessment report found that there was a decrease in the surface ocean pH of 0.1 units since the start of the industrial revolution (1750). Changes in pH are linked to shifts in ocean carbonate chemistry that can affect the ability of marine organisms such as molluscs and reef-building corals, to build and maintain shells and skeletal material. This makes it particularly important to fully characterise changes in ocean carbonate chemistry.

Sea Ice Well Below Average

Arctic sea-ice extent was well below average throughout 2018 and was at record-low levels for the first two months of the year. The annual maximum occurred in mid-March and the March monthly extent was 14.48 million square km, third lowest on record and approximately 7% below the 1981-2010 average. The Arctic sea-ice extent reached its minimum in mid-September. The September monthly sea-ice extent was 5.45 million square km, approximately 28% below average. This ranked as the 6th smallest September extent on record. The 12 smallest September extents have all occurred in the 12 years since 2007.

Antarctic sea-ice extent was also well below average throughout 2018. The annual minimum extent occurred in late February and the monthly average was 2.28 million square km, 33% below average and ranked record low in the C3S dataset and 2nd lowest in the NSDIC data. For the months February through August, the monthly extent ranked among the ten smallest on record. The Antarctic sea-ice extent reached its annual maximum extent in late-September and early-October. The September monthly average extent was 17.82 million square km, 4% below average and ranked within the 5th smallest.

Glaciers are retreating

In the hydrological year 2016/17, observed glaciers experienced an ice loss of 0.850 meter water equivalent (m w.e.). Preliminary estimates for 2017/18 indicate a similarly negative mass balance year with an ice loss of 0.7 m w.e. With this, seven out of the ten most negative mass balance years were recorded after 2010.

The whole report is available here and the source for highlights is here.

Summer has barely begun, but temperature records are already being broken. Data released today show that the European-average temperature for June 2019 was higher than for any other June on record. Average temperatures were more than 2°C above normal and it has become the hottest June ever recorded.

Although not as persistent as that of summer 2018, this short heat wave, caused by a mass of hot air coming from the Sahara Desert, was intense. The five days of unusually high temperatures followed days with record-breaking temperatures further east in Europe. This led to the month as a whole being around 1°C above the previous record for June, set in 1999, and about 1°C higher than expected from the trend in recent decades.

Data provided by the Copernicus Climate Change Service (C3S), implemented by the European Centre for Medium-Range Weather Forecasts on behalf of the European Union, show that the global-average temperature for June 2019 was also the highest on record for the month. It was about 0.1°C higher than that of the previous warmest June, in 2016, following a strong El Niño event.

The map of temperature anomalies shown above, based on the latest C3S data, highlights just how unseasonably warm the end of the month was. Compared to the average for the same five days during 1981-2010 (the standard 30-year climatological reference period), temperatures of 6-10°C above normal occurred over most of France and Germany, northern Spain, northern Italy, Switzerland, Austria, and the Czech Republic.

Although it is difficult to directly attribute this heat wave to climate change, such extreme weather events are expected to become more common as the planet continues to warm under increasing greenhouse gas concentrations.

Looking at the temperature data from a longer-term perspective reveals the month to be even more unusual. Merging the latest C3S data with datasets that extend further back in time shows that the June 2019 European-average temperature was more than 3°C higher than the average for 1850-1900.

Spikes in European-average June temperature of more than 1°C above normal have occurred several times during the last 150 years; in 1901 and 1917, as well as 1999, for example. The temperature in June 2019 was exceptional because its spike came on top of a general rise of around 1.5°C or more in European temperature over the past one hundred years. This rise in European temperature is notably higher than that of around 1°C seen globally.

Jean-Noël Thépaut, Head of the Copernicus Climate Change Service (C3S), comments: “Although local temperatures may have been lower or higher than those forecast, our data show that the temperatures over the southwestern region of Europe during the last week of June were unusually high. Although this was exceptional, we are likely to see more of these events in the future due to climate change.”

@gfay63 Greg, I will contact via email directly as soon as my colleague will let me know where the problem is. Preliminary, we can now see only the wind direction in our database.

To set up Cumulus MX for Windy is very straightforward.

To start you need to go to Cumulus Admin interface, then:

• Navigate to Settings | Internet settings
• Scroll down to the Windy.com entry and click the arrow to expand it.
• Tick Enabled, optionally select Include UV, at this moment will be not displayed on web, but will be saved.
• The Catch up option sends historic data for any gap if Cumulus is shut down and restarted. This is only applicable if you have a station with a data logger.
• Set the Station ID, for most people with one station this will be the default value of zero.
• Enter the API key, be careful to include it whole.
• Set the upload Interval, this has a minimum value of 5 minutes.
• Scroll to the bottom of the page and click Save.

@Πέτρος I will get in touch with you via email.

I will delete the API key from your posts. You should keep it in private.

@jure_13 I checked with our developer and the problem was on our side. It should be now fixed. Sorry for misleading you. Let me know if it works.

@dfousek please send me your station ID, I will check your station. Could you try to send data every 5 minutes?

@jure_13 Hi Jure, it seems that you mixed up the station ID. On Windy Stations, you have registered Station 0. However, you are sending data to Station 1. You are sending data to Station 1 for 7 days. So I recommend to create a new station on Windy Stations and that station will get the number 1, this will fix the problem. Let us know

AcuRite Access/smartHUB

https://docs.acuparse.com/external/WINDY/

@bloah hi we don't post-process weather models in any way. This post was regarding weather stations.

@goodnestapps contact me via email.

To be done soon.

In the mean time check pywws on Github https://github.com/jim-easterbrook/pywws